As you may or may not know, statistics can be dangerous. They can be used to manipulate public opinion, sell you products or services you don't need, change policy decision, and significantly affect our lives. Therefore, it is important to view statistics with a critical and knowledgeable eye. We need to understand what statistics mean, how they are generated, and what their limitations are, to know when they are appropriate and when they are not. This course will introduce you to the discipline of statistics as a science of understanding and analyzing data. If you want to simultaneously learn R and applied statistics, you can count on this course to take you from beginner to an advanced level! Start off with the basics of R and exploring data, then move on to understanding uncertainty, confidence intervals and hypothesis testing, then modeling with simple and multiple regression to learn how to use data to make inferences and conclusions about real world phenomena. What is R? R is a popular programming language for statistical computing, and has seen an exponential growth in adaptation in recent years. R is growing rapidly because you can use it for free and users can submit new packages to expand functionality. You can use text interfaces or download your own graphical interfaces making R highly customizable! Learning how to use R will give you a great long term advantage for any of your work in statistics or data science as R continues to grow worldwide! UNITS Each Unit includes an instructional component, R tutorial videos, and Section exercises to give you an opportunity to see statistics in action and to help you learn how to apply the statistics to answer a real world question. Each Section contains several practice problems to reinforce concepts from the Units and demonstrate how R can be used to solve real word statistical problems.